Papers
11,015 papers found
Enhancing Neural Training via a Correlated Dynamics Model
Jonathan Brokman, Roy Betser, Rotem Turjeman et al.
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
Rong Dai, Yonggang Zhang, Ang Li et al.
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
Xinlu Zhang, Shiyang Li, Xianjun Yang et al.
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
Anirudh Buvanesh, Rahul Chand, Jatin Prakash et al.
Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation
Zhiyu Zhu, Xinyi Wang, Zhibo Jin et al.
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
Hyungi Lee, Giung Nam, Edwin Fong et al.
Ensemble Distillation for Unsupervised Constituency Parsing
Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu et al.
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
Dan Haramati, Tal Daniel, Aviv Tamar
Entropy Coding of Unordered Data Structures
Julius Kunze, Daniel Severo, Giulio Zani et al.
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
Jonghyun Lee, Dahuin Jung, Saehyung Lee et al.
Entropy-MCMC: Sampling from Flat Basins with Ease
Bolian Li, Ruqi Zhang
Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning
Yingtao Zhang, Jialin Zhao, Wenjing Wu et al.
EQA-MX: Embodied Question Answering using Multimodal Expression
Md Mofijul Islam, Alexi Gladstone, Riashat Islam et al.
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Yi-Lun Liao, Brandon M Wood, Abhishek Das et al.
Equivariant Matrix Function Neural Networks
Ilyes Batatia, Lars Leon Schaaf, Gabor Csanyi et al.
Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms
Bowen Jing, Tommi S. Jaakkola, Bonnie Berger
Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants
Peter Richtárik, Elnur Gasanov, Konstantin Pavlovich Burlachenko
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
Tianjian Li, Haoran Xu, Philipp Koehn et al.
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
Yiwei Li, Peiwen Yuan, Shaoxiong Feng et al.
Estimating Conditional Mutual Information for Dynamic Feature Selection
Soham Gadgil, Ian Connick Covert, Su-In Lee
Estimating Shape Distances on Neural Representations with Limited Samples
Dean A Pospisil, Brett W. Larsen, Sarah E Harvey et al.
Eureka: Human-Level Reward Design via Coding Large Language Models
Yecheng Jason Ma, William Liang, Guanzhi Wang et al.
Evaluating Language Model Agency Through Negotiations
Tim Ruben Davidson, Veniamin Veselovsky, Michal Kosinski et al.
Evaluating Large Language Models at Evaluating Instruction Following
Zhiyuan Zeng, Jiatong Yu, Tianyu Gao et al.
Evaluating Representation Learning on the Protein Structure Universe
Arian Rokkum Jamasb, Alex Morehead, Chaitanya K. Joshi et al.